M Young, E Lebed, Y Jian, PJ Mackenzie… - Biomedical optics …, 2011 - opg.optica.org
Volumetric imaging of the Optic Nerve Head (ONH) morphometry with Optical Coherence Tomography (OCT) requires dense sampling and relatively long acquisition times …
AB Wu, E Lebed, MV Sarunic… - IEEE Transactions on …, 2012 - ieeexplore.ieee.org
Recently, compressive sampling has received significant attention as an emerging technique for rapid volumetric imaging. We have previously investigated volumetric optical …
We present a compressed sensing (CS) algorithm and sampling strategy for reconstructing 3- D Optical Coherence Tomography (OCT) image volumes from as little as 10% of the original …
E Lebed, S Lee, MV Sarunic… - Journal of biomedical …, 2013 - spiedigitallibrary.org
We demonstrate how compressive sampling can be used to expedite volumetric optical coherence tomography (OCT) image acquisition. We propose a novel method to interpolate …
D Xu, Y Huang, JU Kang - Biomedical optics express, 2014 - opg.optica.org
In this work, we proposed a novel three-dimensional compressive sensing (CS) approach for spectral domain optical coherence tomography (SD OCT) volumetric image acquisition …
X Liu, JU Kang - Three-Dimensional and Multidimensional …, 2011 - spiedigitallibrary.org
We applied compressed sensing (CS) to spectral domain optical coherence tomography (SD-OCT). Namely, CS was applied to the spectral data in reconstructing A-mode images …
High quality, large size volumetric imaging of biological tissue with optical coherence tomography (OCT) requires large number and high density of scans, which results in large …
The resolution in optical coherence tomography imaging is an important parameter which determines the size of the smallest features that can be visualized. Sparse sampling …
X Liu, JU Kang - Optics express, 2010 - opg.optica.org
We applied compressed sensing (CS) to spectral domain optical coherence tomography (SD OCT) and studied its effectiveness. We tested the CS reconstruction by randomly …